This course will teach you important concepts and some of the basic skills you need to know to gain understanding of how Machine Learning works.

This course will teach you important concepts and some of the basic skills you need to know to gain understanding of how Machine Learning works.
What this course is about:

Machine learning is so hot right now! After completing this course and the others in our Machine Deep Learning Series, you’ll create and evaluate machine learning code. Machine learning is not a “monolithic” enterprise: there are actually many different and sometimes overlapping techniques that can allow computers to successfully learn key metrics from the data you give it. This is 3 hour course and the workshop meets two times.

You’ll gain insight into the most import concepts and techniques of machine learning in a clear, and simple manner. You’ll be able understand and cut through the some of the heavy jargon and some of the math behind machine learning. Most importantly you’ll learn to complete hands-on machine learning projects yourself!

Who this program is for:

This course will be taught in Python. When we need to look at Python code, you will learn what it means and what it does at the same time. As Python is a user-friendly language, you can easily learn enough Python to understand this course while you are *taking* this course, especially if you can already program comfortably in a different language. If you’d like to improve your Python programming skills, please consider enrolling in our Python 101 or Python 102 courses concurrently with this course.

You will learn:
  1. How Does Machine Learning Work?
  2. What Kinds of Things Can You Build With Machine Learning?
  3. Why is Machine Learning Taking Over the World
  4. Types of Machine Learning: Unsupervised vs Supervised
  5. Do You Have Big Data? Do You Need Big Data?
  6. Writing ML Code that Make Predictions
  7. Writing ML Code that Sorts Data into Categories
Prerequisites & Preparation:
  1. Laptop
  2. Anaconda for Python 3.6 installed
  3. Recommended but not required: Python 102 or equivalent

Start Dates

Evening Aug 22nd

$69

Course schedule:
Aug. 22, 2017, 7:15 p.m.
Aug. 24, 2017, 7:15 p.m.

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